As the name suggests in this project is an application of Object Detection Algorithms where I have detected 12 different chess peices on the chess board using 3 different algorithms
- Yolo(V5)
- SSD
- Faster R-CNN
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Dataset Description This flowchart shows various preprocessing & augmentation steps that have been applied to the dataset
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Faster R-CNN loss metrics
- SSD loss metrics
- YOLO metrics
Here I have created a small table of the common metrics that are present in all 3 Algorithms
You can find the orignal dataset here: https://public.roboflow.com/ds/2JhywcdZdh?key=lSjdOpj6jk